Modeling BAS Dysregulation in Bipolar Disorder: Illustrating the Potential of Time Series Analysis. (August 2016)

• Record Type: Journal Article
• Authors: Hamaker, Ellen L.; Grasman, Raoul P. P. P.; Kamphuis, Jan Henk
• Other Names: Wright Aidan G. C. guest-editor.; Hopwood Christopher J. guest-editor.
• Is Part Of: Assessment. Volume 23:Number 4(2016:Aug.)
• Page Start: 436
• Page End: 446
• Publication Date: 2016-08
• Subjects: time series analysis -- regime-switching -- dynamic system -- intensive longitudinal data; Psychological tests -- Periodicals; Psychodiagnostics -- Periodicals; Personality tests -- Periodicals; 150.287
• DOI: 10.1177/1073191116632339
• Languages: English
• ISSNs: 1073-1911

Abstract

Time series analysis is a technique that can be used to analyze the data from a single subject and has great potential to investigate clinically relevant processes like affect regulation. This article uses time series models to investigate the assumed dysregulation of affect that is associated with bipolar disorder. By formulating a number of alternative models that capture different kinds of theoretically predicted dysregulation, and by comparing these in both bipolar patients and controls, we aim to illustrate the heuristic potential this method of analysis has for clinical psychology. We argue that, not only can time series analysis elucidate specific maladaptive dynamics associated with psychopathology, it may also be clinically applied in symptom monitoring and the evaluation of therapeutic interventions.